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| Certification Vendor: | DAMA International |
|---|---|
| Exam Name: | Data Management Fundamentals |
| Exam Number: | DMF-1220 |
| Exam Duration: | 90 minutes |
| Related Certifications: | CDMP Master CDMP Practitioner |
| Available Languages: | English |
| Exam Price: | $250 - $300 USD (member discount available) |
| Passing Score: | 60% (Associate), 70% (Practitioner), 80% (Master) |
| Certificate Validity Period: | Lifetime |
| Exam Format: | Multiple-choice, Multiple-response |
| Real Exam Qty: | 100 |
| Recommended Training: | DAMA Registered Education Providers DAMA-DMBOK 2nd Edition |
| Exam Registration: | Official Registration Portal |
| Sample Questions: | DAMA DMF-1220 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No mandatory prerequisites; basic IT/data knowledge recommended |
| Official Syllabus URL: | https://dama.org/certification/exam-information-and-pricing/ |
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The DMF-1220 Certification Exam is an industry-standard exam that is recognized globally. DMF-1220 exam is designed to assess the understanding of data management fundamentals and the practical application of these principles in real-world scenarios. DMF-1220 Exam is intended for anyone who is seeking to enhance their knowledge and skills in data management, including data architects, data analysts, data administrators, and data quality professionals.
NEW QUESTION # 336
Examples of technical metadata include:
Answer: A,B,E
NEW QUESTION # 337
Through similarity analysis, slight variation in data can be recognized and data values can be consolidated.
Two basic approaches, which can be used together, are:
Answer: C,D
NEW QUESTION # 338
Please select the correct definition of Data Management from the options below.
Answer: B
NEW QUESTION # 339
Data science merges data mining, statistical analysis, and machine learning with the integration and data modelling capabilities, to build predictive models that explore data content patterns.
Answer: A
NEW QUESTION # 340
Which of the following is a Data Quality principle?
Answer: A
Explanation:
Data quality principles encompass multiple aspects, including prevention, governance, and standards-driven approaches, as well as considering criticality in prioritizing efforts. The DAMA-DMBOK states: "Data quality principles include prevention (proactive measures to avoid errors), governance (oversight and accountability), standards-driven processes (consistency through defined rules), and criticality (prioritizing based on business impact)" (DMBOK2, Chapter 7: Data Quality, p. 263). Since all listed options are principles, E is correct.
Reference:DAMA-DMBOK2, Chapter 7: Data Quality, Section 2.2, p. 263.
NEW QUESTION # 341
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